Purpose and Design of the CBL-GPU-C240M6=

The ​​CBL-GPU-C240M6=​​ is a proprietary ​​GPU riser cable​​ designed for the ​​Cisco UCS C240 M6​​ rack server. It connects NVIDIA or AMD GPUs (installed in the rear drive bay) to the server’s motherboard, enabling ​​PCIe Gen4 x16 bandwidth​​ for AI/ML workloads, rendering, or high-performance computing (HPC).

Key Use Cases for the CBL-GPU-C240M6=

​​Why is this cable essential for GPU deployments?​​

• ​​AI/ML Acceleration​​: Enables ​​NVIDIA A100/T4 GPUs​​ to operate at full throughput for deep learning training/inference.
• ​​Virtual Desktop Infrastructure (VDI)​​: Supports multiple ​​AMD Radeon Instinct​​ GPUs for graphics-intensive virtual desktops.
• ​​High-Density Compute​​: Allows up to ​​3 double-width GPUs​​ in the C240 M6’s rear bays without compromising airflow.

Compatibility and Technical Specifications

​​Which GPUs and UCS configurations require this cable?​​

• ​​Supported GPUs​​: NVIDIA A100, T4, V100S; AMD MI25, Radeon Pro V620.
• ​​Server Requirements​​: UCS C240 M6 with ​​Cisco VIC 1480/1495 adapters​​ for PCIe bifurcation control.

​​Critical design features​​:

• ​​Shielded twisted-pair wiring​​ to minimize electromagnetic interference (EMI) in dense server racks.
• ​​Keyed connectors​​ ensuring foolproof installation and preventing PCIe lane misalignment.

Installation Best Practices

​​What errors degrade GPU performance with this cable?​​

• ​​Inadequate Power Allocation​​: Ensure the server’s ​​2200W power supply​​ is configured to allocate sufficient wattage to GPUs (e.g., 300W per A100).
• ​​PCIe Slot Misconfiguration​​: Set BIOS to ​​Gen4 x16 mode​​; older Gen3 settings bottleneck throughput.
• ​​Thermal Oversights​​: Maintain ​​35°C ambient temperature​​ in the rack to avoid GPU throttling.

Sourcing Authentic CBL-GPU-C240M6= Cables

For guaranteed signal integrity and warranty coverage, procure the CBL-GPU-C240M6= exclusively through certified suppliers like “itmall.sale”. Third-party cables risk signal degradation, which can cripple GPU compute accuracy in precision-dependent tasks like genomic sequencing.

Perspective on GPU-Centric Server Design

The CBL-GPU-C240M6= exemplifies how infrastructure must evolve to harness GPU potential fully. In my experience, enterprises often underestimate the interplay between cabling, power, and cooling in GPU-heavy setups. This cable isn’t just a connector—it’s the lifeline ensuring that expensive accelerators don’t become underutilized ornaments in the data center.